Skip to main content

A Simulation Model of Gypsy Moth-Forest Interaction

Buy Article:

$21.50 plus tax (Refund Policy)

A model developed from data collected in New England simulates the behavior of the gypsy moth (Porthetria dispar (L.))--forest system in many stands and over many years, yielding estimates of future egg mass density, defoliation, tree condition, and tree mortality. It will also yield frequency distributions of expected egg mass density and defoliation levels for one stand in 1 year. This information may be valuable to decision-makers concerned with regulating gypsy moth infestations. Forest Sci. 21:233-238.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: Porthetria dispar; defoliation; transition matrices

Document Type: Journal Article

Affiliations: Former Principal Ecologist, Northeastern Forest Experiment Station, USDA Forest Service, Upper Darby, Pennsylvania

Publication date: 1975-09-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Podcasts
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more